Bernhard Schlegel, PhD Candidate at BMW

Bernhard Schlegel

PhD Candidate, BMW

– 2008-2014: Mechanical engineering at the Technical University of Munich (TUM), majors in automotive and computer science
– 2015-present: PhD. candidate for computer science at BMW
– 2016: Publication: “Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces”, IEEE SSCI
– Skills: Extensive C/C++/Java Skills
– Personal: Passion for writing efficient code (C/Scala), brewing beer (projekt: bierbot.de), learning new things and doing sports.


Next Generation Workshop Car Diagnostics at BMW Powered by Apache Spark

Current workshop diagnostics are based on manually-generated decision trees. This approach is increasingly reaching its limits due to a growing variant diversity, and the increasing complexity of vehicle systems. This session will describe BMW’s new… Read more